A User Led Approach to Developing Social Care Data Standards and Data Sharing Use Cases in Wales
Award of a supplier to define and deliver a user-led approach to developing Minimum Operating Data Standards (MODS) for social care in Wales.
This will involve deep engagement with stakeholders, identification and prioritisation of use cases, and development of a structured Data Catalogue to inform the Fast Healthcare Interoperability Resource (FHIR) framework.
This contract will be split across the following phases: Phase 1: Engagement and Discovery Phase 2: Further Development and Implementation Note: Social Care Wales will commission FHIR expertise through a separate contract.
While both the successful supplier of this tender and the FHIR experts will have distinct areas of responsibility, they will be expected to work in close collaboration to ensure alignment between the development of the MODS and its mapping to the HL7 FHIR framework.
This joint approach will ensure that technical compatibility is built in from the outset and that both strands of work progress in a coordinated, efficient manner.
What the supplier must deliver
Award of a supplier to define
Award of a supplier to define and deliver a user-led approach to developing Minimum Operating Data Standards (MODS) for social care in Wales.
While both the successful supplier of this
While both the successful supplier of this tender and the FHIR experts will have distinct areas of responsibility, they will be expected to work in close collaboration to ensure alignment between the development of the MODS and its mapping to the HL7 FHIR framework.
This joint approach will ensure that technical
This joint approach will ensure that technical compatibility is built in from the outset and that both strands of work progress in a coordinated, efficient manner.
Derived from the notice text — always confirm against the original documents.
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- OCID
- ocds-h6vhtk-0581a2
- Stage
- award · Awarded
- Source
- Find a Tender
- Buyer ref
- 037126-2026
Contains public sector information licensed under the Open Government Licence v3.0. Source data © Crown copyright.
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